Data Engineer (Python & SQL)

• Assess feasibility and technical requirements for LINKS DataLake integration.
• Collaborate with client Immunization Program Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines.
• Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records labs registries).
• Design scalable data workflows to improve data quality integrity and identity resolution.
• Implement data governance observability and lineage tracking across all pipelines.
• Mentor engineers support testing and enforce best practices in orchestration and architecture.
• Document and communicate technical solutions to technical and non-technical stakeholders.

• 5 years of experience in data engineering and/or data architecture
• 2 years of experience with Python for ETL and automation (pandas requests API integration).
• 2 years hands-on experience with SQL queries stored procedures performance tuning (preferable Oracle SQL Server MySQL)
• 1 year experience with ETL orchestration tools (Prefect Airflow or equivalent).
• 1 year experience with cloud platforms (Azure AWS or GCP) including data onboarding/migration.
• 1 year exposure to data lake / medallion architecture (bronze silver gold)
• 2 years of experience providing written documentation and verbal communication for cross-functional collaboration.
• Ability to provide at least three (3) verifiable professional references corresponding to the candidates three most recent engagements/employers shown on the resume.
• Ability to successfully pass a criminal background check as a condition of employment.

• 5 years of experience in data engineering roles
• Experience integrating or developing REST/JSON or XML APIs
• Familiarity with CI/CD pipelines (GitHub Actions Azure DevOps etc.).
• Exposure to Infrastructure as Code experience (Terraform CloudFormation).
• Experience with data governance and metadata tools (Atlan OpenMetadata Collibra).
• Public health/healthcare dataset or similar experience including PHI/PII handling.
• Familiarity with SAS and R workflows to support epidemiologists and analysts.
• Experience with additional SQL platforms (Postgres Snowflake Redshift BigQuery).
• Familiarity with data quality frameworks (Great Expectations Deequ).
• Experience with real-time/streaming tools (Kafka Spark Streaming).
• Familiarity with big data frameworks for large-scale transformations (Spark Hadoop).
• Knowledge of data security and compliance frameworks (HIPAA SOC 2 etc.).
• Agile/SCRUM team experience.

Work Location: This position follows a remote work schedule established in coordination with the hiring manager after hire. Candidate must reside in the U.S.
Duration: The position is anticipated to last for 1 year and may be extended for up to an additional 1 3 years.

Headquartered in Baltimore Maryland SYSCOM Inc. is a US-based company whose mission is to create and deliver the right technology solutions by teaming with our customers to understand their business needs and empower them to achieve their goals. Since 1982 SYSCOM Inc. has been providing enterprise-wide solutions for a variety of private and public sector clients.
SYSCOM Inc. is an equal opportunity employer.